Paul Hess

SciTech - Philosophy - Politics - Climate - Eclecticism - Bitcoin (comment | retweet | follow | like)

[Paul Hess @idea2go]

Direct YouTube link to my Career Paths interview with @TrebleNetwork founder David Gertler for those who requested fewer clicks. https://t.co/clrsJKgnZq. Explore upwards in this thread for some interesting excerpt topics 👆

[Paul Hess @idea2go]

@MarioNawfal We're gonna need a bigger robot. And less cute.

[Paul Hess @idea2go]

@ProjectLincoln Trump is simply trying to recreate the 10 plagues from the Book of Exodus on us. @ProjectLincoln you should make a video about this I bet there’s even a 1-1 comparison! Who did it better Moses or Trump?

[Paul Hess @idea2go]

@trajan_blind @CollinRugg If they attached street cleaning brushes it would be fine

[Paul Hess @idea2go]

"Using AI to be lazy instead of using AI to be better". I've been using this framing a lot in recent months so I thought I'd enshrine it here.

So often people frame it as whether or not to use AI, either for practical or moral reasons. But the more important distinction is 👆

[Paul Hess @idea2go]

@blassicliberal @Daily_MailUS The (true) photo of Trump pointing up at an eclipse would make a great image for UFO sightings.

[Paul Hess @idea2go]

@Daily_MailUS It was the Ferengi.

[Paul Hess @idea2go]

@simongerman600 Average interest rate on debt is much lower than prior several decades. If it needs to rise we won't let it which will cause huge distortions and unsustainable imbalances.

[Paul Hess @idea2go]

@simongerman600 It's no longer tenable to let interest rates rise, even if & when economically they must. Check Mate. No way out remaining except devaluation.

[Paul Hess @idea2go]

@simongerman600 It's no longer tenable to let interest rates rise, even if & when economically they must. Check Mate. No way out remaining except devaluation.

[Paul Hess @idea2go]

@simongerman600 Both are rising uncontrollably

[Paul Hess @idea2go]

We're living in a world where it's OK for Soccer to disrupt education but it would be unthinkable for education to disrupt soccer.

[Paul Hess @idea2go]

@tanayj @AlphaSenseInc @barronsonline Lucky for us, nobody except AI reads corporate reports anymore.

[Paul Hess @idea2go]

@shiri_shh I have a better idea. Let people clone their enemy or rival, so they can torture them for all eternity. I hope the AI clones aren’t conscious!

[Paul Hess @idea2go]

@shiri_shh I have a better idea. Let people clone their enemy or rival, so they can torture them for all eternity. I hope the AI clones aren’t conscious!

[Paul Hess @idea2go]

@Reuters $META is about to learn just how often their employees hit the “boss is coming” key, and train its AI to do the same!

[Paul Hess @idea2go]

@Reuters $META is about to learn just how often their employees hit the “boss is coming” key, and train its AI to do the same!

[Paul Hess @idea2go]

@sciencegirl I saw this machine in the classic movie Logan’s Run!

[Yohan @yohaniddawela]

A single GPU can now calculate hundreds of global weather scenarios in under 60 seconds. The exact same task requires a supercomputer and hours of brute-force physics.

Google DeepMind recently released WeatherNext 2. The model beats the previous state-of-the-art system on 99.9% of weather variables across a 15-day forecast window. It achieves this massive jump in accuracy using a new modelling approach called a Functional Generative Network.

Meteorologists categorise weather data into two buckets:

1. Marginals are isolated data points, like the precise temperature at a specific location or the wind speed at a certain altitude.
2. Joints are the massive, interconnected systems that form when all those individual elements interact.

The researchers hid the joint systems from the model during training. They only taught it the isolated marginals. When they turned it on, the model skillfully predicted the massive, complex systems anyway.

The architecture forces an 87-million-dimensional output distribution through a 32-dimensional mathematical bottleneck. To survive this severe constraint and still produce accurate individual data points, the neural network has no choice but to learn the underlying physics linking everything together. It figures out the weather because that’s the most efficient way to solve the maths.

The practical results are immediate. The model gives forecasters a full 24-hour advantage in tropical cyclone tracking compared to the previous leading system. It maps extreme wind speeds and heatwaves with unprecedented precision.

We’re watching a pretty big shift in predictive capabilities. The machine is deducing the structural reality of planetary weather from isolated fragments of data.

[Paul Hess @idea2go]

@pitdesi Imagine two people, one with a four year college degree and one with a four week Meta degree. One of these two people will have a job.